Takip et
Luke Marris
Luke Marris
Research Engineer at DeepMind, PhD from University College London
ucl.ac.uk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Backpropagation and the brain
TP Lillicrap, A Santoro, L Marris, CJ Akerman, G Hinton
Nature Reviews Neuroscience 21 (6), 335-346, 2020
10322020
Human-level performance in 3D multiplayer games with population-based reinforcement learning
M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ...
Science 364 (6443), 859-865, 2019
9012019
Assessing the scalability of biologically-motivated deep learning algorithms and architectures
S Bartunov, A Santoro, B Richards, L Marris, GE Hinton, T Lillicrap
Advances in neural information processing systems 31, 2018
3122018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ...
arXiv preprint arXiv:1807.01281, 2018
1772018
From motor control to team play in simulated humanoid football
S Liu, G Lever, Z Wang, J Merel, SMA Eslami, D Hennes, WM Czarnecki, ...
Science Robotics 7 (69), eabo0235, 2022
1282022
A generalized training approach for multiagent learning
P Muller, S Omidshafiei, M Rowland, K Tuyls, J Perolat, S Liu, D Hennes, ...
arXiv preprint arXiv:1909.12823, 2019
1202019
Multi-agent training beyond zero-sum with correlated equilibrium meta-solvers
L Marris, P Muller, M Lanctot, K Tuyls, T Graepel
International Conference on Machine Learning, 7480-7491, 2021
462021
NeuPL: Neural population learning
S Liu, L Marris, D Hennes, J Merel, N Heess, T Graepel
arXiv preprint arXiv:2202.07415, 2022
242022
Turbocharging solution concepts: Solving NEs, CEs and CCEs with neural equilibrium solvers
L Marris, I Gemp, T Anthony, A Tacchetti, S Liu, K Tuyls
Advances in Neural Information Processing Systems 35, 5586-5600, 2022
202022
Combining tree-search, generative models, and Nash bargaining concepts in game-theoretic reinforcement learning
Z Li, M Lanctot, KR McKee, L Marris, I Gemp, D Hennes, P Muller, ...
arXiv preprint arXiv:2302.00797, 2023
182023
Simplex neural population learning: Any-mixture bayes-optimality in symmetric zero-sum games
S Liu, M Lanctot, L Marris, N Heess
International Conference on Machine Learning, 13793-13806, 2022
172022
States as strings as strategies: Steering language models with game-theoretic solvers
I Gemp, Y Bachrach, M Lanctot, R Patel, V Dasagi, L Marris, G Piliouras, ...
arXiv preprint arXiv:2402.01704, 2024
162024
Approximating nash equilibria in normal-form games via stochastic optimization
I Gemp, L Marris, G Piliouras
arXiv preprint arXiv:2310.06689, 2023
72023
Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of Normal-Form Games
L Marris, I Gemp, G Piliouras
arXiv preprint arXiv:2304.09978, 2023
72023
Generative adversarial equilibrium solvers
D Goktas, DC Parkes, I Gemp, L Marris, G Piliouras, R Elie, G Lever, ...
arXiv preprint arXiv:2302.06607, 2023
72023
Nfgtransformer: Equivariant representation learning for normal-form games
S Liu, L Marris, G Piliouras, I Gemp, N Heess
arXiv preprint arXiv:2402.08393, 2024
62024
Developing, evaluating and scaling learning agents in multi-agent environments
I Gemp, T Anthony, Y Bachrach, A Bhoopchand, K Bullard, J Connor, ...
AI Communications 35 (4), 271-284, 2022
52022
Steering language models with game-theoretic solvers
I Gemp, R Patel, Y Bachrach, M Lanctot, V Dasagi, L Marris, G Piliouras, ...
Agentic Markets Workshop at ICML 2024, 2024
42024
Neural population learning beyond symmetric zero-sum games
S Liu, L Marris, M Lanctot, G Piliouras, JZ Leibo, N Heess
arXiv preprint arXiv:2401.05133, 2024
32024
Evaluating agents using social choice theory
M Lanctot, K Larson, Y Bachrach, L Marris, Z Li, A Bhoopchand, ...
arXiv preprint arXiv:2312.03121, 2023
32023
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20